Day | Section | Topic |
---|---|---|
Mon, Jan 13 | Expressions and equations | |
Wed, Jan 15 | 1.1 | Functions & graphs |
Fri, Jan 17 | 1.2 | Combining functions |
Today we introduced the course syllabus. Then we looked at how to solve the following equations algebraically.
Solve . (https://youtu.be/7GShZYevLGU)
Solve . (https://youtu.be/0gicD4STzpg)
Solve .
After we solved these equations, we also talked about the geometric interpretation of the solutions as places on a graph where a function has a certain y-value.
Graph the line and check where it crosses the line .
Graph the function .
To make it easier to graph functions, it helps to know some basic graphs. Here are six you should memorize.
We used these examples to help graph the following in class:
After those graphs, we talked about function notation. Both and to mean the same thing. But the notation emphasizes that is a function of the variable. Be careful not to confuse function notation with multiplication . Even though the notation looks the same, they are not the same!
We did these examples.
If and , find and .
Find .
The quantity of gasoline sold by a gas station is a function of the price that the owner sets. Here is a graph of the function .
The function can be used to approximate . Calculate and .
We started talking about different ways you can combine functions. We did the following exercises.
(Exercise 1.2# 29) The function gives the number of items that will be demanded when the price is . The production cost, is the cost of producing items. To determine the cost of production when the price is $6, you would do which of the following?
Continuing the previous problem, profit is revenue minus cost, and revenue is price times quantity sold. Using the functions and , write down formulas for revenue and for profit.
After we talked about function composition, we switched to a quick review of linear functions. You need to know these formulas for linear functions:
You also need to understand slope very well:
Day | Section | Topic |
---|---|---|
Mon, Jan 20 | MLK day - no class | |
Wed, Jan 22 | 1.3 | Linear functions |
Fri, Jan 24 | 1.3 | Slope |
Day | Section | Topic |
---|---|---|
Mon, Jan 27 | 1.3 | Systems of linear equations |
Wed, Jan 29 | 1.4 | Exponents |
Fri, Jan 31 | 1.4 | Exponents - con’d |
Day | Section | Topic |
---|---|---|
Mon, Feb 3 | 1.5 | Quadratics |
Wed, Feb 5 | 1.6 | Polynomial functions |
Fri, Feb 7 | 1.6 | Polynomial functions - con’d |
Day | Section | Topic |
---|---|---|
Mon, Feb 10 | 1.6 | Rational functions |
Wed, Feb 12 | Review | |
Fri, Feb 14 | Midterm 1 |
Day | Section | Topic |
---|---|---|
Mon, Feb 17 | 1.7 | Exponential functions |
Wed, Feb 19 | 1.7 | Exponential functions - con’d |
Fri, Feb 21 | 1.8 | Logarithmic functions |
Day | Section | Topic |
---|---|---|
Mon, Feb 24 | 1.8 | Logarithmic functions - con’d |
Wed, Feb 26 | 2.2 | The derivative |
Fri, Feb 28 | 2.2 | The derivative as a function |
Day | Section | Topic |
---|---|---|
Mon, Mar 3 | 2.3 | The power & sum rule for derivatives |
Wed, Mar 5 | 2.3 | Derivatives of logarithms and exponentials |
Fri, Mar 7 | 2.3 | Applications of derivatives |
Day | Section | Topic |
---|---|---|
Mon, Mar 17 | 2.4 | Product rule |
Wed, Mar 19 | 2.4 | Quotient rule |
Fri, Mar 21 | 2.5 | Chain rule |
Day | Section | Topic |
---|---|---|
Mon, Mar 24 | 2.5 | Chain rule - con’d |
Wed, Mar 26 | Review | |
Fri, Mar 28 | Midterm 2 |
Day | Section | Topic |
---|---|---|
Mon, Mar 31 | 2.7 | Optimization |
Wed, Apr 2 | 2.7 | Optimization - con’d |
Fri, Apr 4 | 2.9 | Applied optimization |
Day | Section | Topic |
---|---|---|
Mon, Apr 7 | 2.10 | Other applications |
Wed, Apr 9 | 4.1 | Functions of two variables |
Fri, Apr 11 | 4.2 | Partial derivatives |
Day | Section | Topic |
---|---|---|
Mon, Apr 14 | 4.2 | Partial derivatives - con’d |
Wed, Apr 16 | Review | |
Fri, Apr 18 | Midterm 3 |
Day | Section | Topic |
---|---|---|
Mon, Apr 21 | 4.3 | Multivariable optimization |
Wed, Apr 23 | 4.3 | Multivariable optimization - con’d |
Fri, Apr 25 | Constrained optimization | |
Mon, Apr 28 | Constrained optimization - con’d |